ABSTRACT
The ecological carrying capacity (ECC) of Inner Mongolia is the foundation of its sustainable development. As a result, a comprehensive investigation of Inner Mongolia's ECC and its influencing factors is critical for promoting regional sustainable development. However, an ECC evaluation index system for the ecological environment and economic development features of Inner Mongolia has not yet been developed. In addition, as ECC attributes rise, traditional methods become ineffective at extracting the structural characteristics of high-dimensional data, leading to an incomplete evaluation. In view of this, based on the driver-pressure-state-impact-response (DPSIR) framework, we developed an ECC evaluation index system that takes into account the ecological environment and economic development features of Inner Mongolia. The projection pursuit model based on real coded accelerating genetic algorithm (RAGA-PP), which can analyze high-dimensional data, was applied to achieve ECC comprehensive assessment in Inner Mongolia. Finally, the analysis of the ECC obstacle factors in the study area was conducted. The findings reveal that (1) from 2000 to 2020, there was an average increase of 28.4% in the ECC for all of Inner Mongolia cities. The spatial divergence feature is obvious, and the northeastern cities' ECC is higher than the southwestern. (2) From 2000 to 2020, the value of the drive, pressure, and state subsystems primarily shows fluctuation. The impact and response subsystems both exhibit an increase, while the response subsystem's characteristic values are lower. (3) The obstacle degree of driving force subsystem is significant and ranges from 17.6 to 33.9% between 2000 and 2020. Main obstacles to ECC are the average annual temperature, the disposable income of farmers and herdsmen, the urban registered unemployment rate, and the seeded area per capita. The findings of the research can provide useful guidance to developing efficient policies that take into account the various ECC in different cities in order to improve ECC performance throughout Inner Mongolia.
Subject(s)
Conservation of Natural Resources , Ecosystem , Cities , China , Sustainable DevelopmentABSTRACT
Remote sensingmonitoring of regional ecological quality has advanced significantly with the rapid developments of remote sensing technology. At present, remote sensing ecological index (RSEI) has been widely used in ecological status monitoring. However, RSEI was proposed for urban environments, and the rationality and accuracy of its applicability to desert-dominated arid region ecosystems need to be demonstrated. Therefore, in this study, we incorporated desertification monitoring index (DMI) and salinity monitoring index (SMI) to RSEI and developed the modified remote sensing ecological index (MRSEI) for arid regions. Moreover, we analyzed the stability of MRSEI in ecological status monitoring for arid regions. The MRSEI was then used to evaluate the ecological quality of Inner Mongolia from 2000 to 2020 and exploring its causes. The results show that (1) Although the evaluation results of RSEI and MRSEI are more consistent in areas with high ecological status grades, the MRSEI results are more cautious and reliable in extreme conditions (e.g., desertification, salinization) than the RSEI. (2) Approximately 87.66% of ecological quality have improved or remain stable from 2000 to 2020, but the remaining areas (accounting for 12.34% of the whole area) are still under degraded conditions. This demonstrates that although local governments have made some progress in ecological conservation, the areas that are fluctuating or degraded still require protection or management. (3) In Inner Mongolia, the ecological quality which drove by precipitation (P) & temperature (T) accounting for 26.67% of the study area, population density (D) and GDP per capita (G) affected 13.23% of regional ecological quality. Overall, this research is crucial for evaluating spatial and temporal changes in arid region ecology and establishing conservation strategies.
Subject(s)
Ecosystem , Remote Sensing Technology , Environmental Monitoring , Desert Climate , ChinaABSTRACT
Objective To investigate the efficacy and safety of blood purification therapy in the treatment of diuretic resistance in patients with nephrotic edema.Methods 40 cases of primary nephrotic syndrome with diuretic resistance in our hospital were randomly divided into hemodialysis (HD) group and continuous blood purification (CVVH) group and each group were 20 cases.All the patients were given basic treatment (lipid modulation,anticoagulation and glucocorticoid) and the observation time was 4 weeks.The changes of biochemical indexes (24 h urine protein,plasma albumin,serum urea nitrogen and serum creatinine) were observed before and after treatment in two groups.In addition,the complications of four groups were recorded.Results After blood purification treatment,urinary volume of two groups were significantly increased,the quantity of 24 h urinary protein and serum albumin were significantly improved,levels of serum urea nitrogen and serum creatinine were significantly decreased.The differences were statistically significant (P < 0.05 or P < 0.01).Compared with HD group,the urine volume increased more obviously in CVYH group after 2 weeks' treatment (P < 0.05).The same time,24 h urinary protein was reduced and plasma albumin was improved more significantly (P < 0.05),levcls of serum urea nitrogen and serum creatinine were not differ between the two groups (P > 0.05).There was no difference in urine volume and renal function between the two groups (P > 0.05) after 4 weeks' treatment.24 h urinary protein was significantly decreased and serum albumin was significantly higher than HD group (P < 0.05).There were no serious complications in the two groups.Conclusion Blood purification in the treatment of diuretic resistance in patients with nephrotic edema is safe and effective.Continuous blood purification treatment can effectively alleviate nephrotic edema with diuretic resistance,promote the recovcry of renal function and improve the prognosis of kidney disease.